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Dostęp zamkniętyMulti-levels 3D Chromatin Interactions Prediction Using Epigenomic Profiles
| cris.lastimport.scopus | 2024-02-12T19:31:38Z |
| dc.abstract.en | Identification of the higher-order genome organization has become a critical issue for better understanding of how one dimensional genomic information is being translated into biological functions. In this study, we present a supervised approach based on Random Forest classifier to predict genome-wide three-dimensional chromatin interactions in human cell lines using 1D epigenomics profiles. At the first level of our in silico procedure we build a large collection of machine learning predictors, each one targets single topologically associating domain (TAD). The results are collected and genome-wide prediction is performed at the second level of multi-scale statistical learning model. Initial tests show promising results confirming the previously reported studies. Results were compared with Hi-C and ChIA-PET experimental data to evaluate the quality of the predictors. The system achieved 0.9 for the area under ROC curve, and 0.86--0.89 for accuracy, sensitivity and specificity. |
| dc.affiliation | Uniwersytet Warszawski |
| dc.conference.country | Polska |
| dc.conference.datefinish | 2017-06-29 |
| dc.conference.datestart | 2017-06-26 |
| dc.conference.place | Warszawa |
| dc.conference.series | International Symposium on Methodologies for Intelligent Systems - Foundations of Intelligent Systems |
| dc.conference.series | International Symposium on Methodologies for Intelligent Systems - Foundations of Intelligent Systems |
| dc.conference.shortcut | ISMIS 2017 |
| dc.contributor.author | Plewczyński, Dariusz |
| dc.date.accessioned | 2024-01-25T13:06:14Z |
| dc.date.available | 2024-01-25T13:06:14Z |
| dc.date.issued | 2017 |
| dc.description.finance | Nie dotyczy |
| dc.identifier.doi | 10.1007/978-3-319-60438-1_2 |
| dc.identifier.uri | https://repozytorium.uw.edu.pl//handle/item/113078 |
| dc.identifier.weblink | https://doi.org/10.1007/978-3-319-60438-1_2 |
| dc.language | eng |
| dc.pbn.affiliation | biological sciences |
| dc.relation.pages | 19-28 |
| dc.rights | ClosedAccess |
| dc.sciencecloud | nosend |
| dc.title | Multi-levels 3D Chromatin Interactions Prediction Using Epigenomic Profiles |
| dc.type | JournalArticle |
| dspace.entity.type | Publication |